XploRe Help : looreg

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library:	smoother
See also:	sker

Quantlet:		looreg
Description:		computes the Nadaraya-Watson leave-one-out estimator without binning using the quartic kernel. Prior to estimation, looreg sorts the data. The sorted data, along with the sorted leave-one-out regression estimates, are returned as an output.

Usage:	`{xs, mh} = looreg (x, y, h)`
Input:
	`x`	n x p matrix, observations of explanatory variables
	`y`	n x 1 matrix, observations of the dependent variable
	`h`	n x p matrix. or 1 x p vector, or n x 1 vector, or scalar depending on whether one wants to use global or local bandwidth and if one uses the same bandwidth in all directions or one for each direction.
Output:
	`xy`	n x (p+1) matrix, the sorted data, the first p columns contain the sorted observations of the explanatory while the last column contains the sorted observations of the dependent variable
	`mh`	n x 1 matrix, the sorted leave-one-out regression estimates

Example:

library("smoother") z=read("nicfoo") x=z[,1] y=z[,2] h=0.5 {xy, mh} = looreg(x, y, h) dd=createdisplay(1,1) show(dd,1,1,xy,xy[,1]~mh )

Result:

Computes the leave-one-out Nadaraya-Watson estimator
of the regression of y on x for the nicfoo data.

Author: A. Werwatz, 19970122